The workspace includes access to diverse data sources, unique research capabilities for analytics such as domain models, text analytics and natural language processing capabilities derived from Watson, a powerful hardware and software infrastructure, and broad domain expertise including biology, medicine, finance, weather modeling, mathematics, computer science and information technology. This combination reduces time to insight resulting in business impact – cost savings, revenue generation and scientific impact – ahead of the traditional pace of discovery.

The notion of Moore’s Law for Big Data has less to do with how fast data is growing, and more with how many connections one can make with that data, and how fast those connections are growing. While companies could utilize data scientists to analyze their own information, they may miss insights that can only be found by bringing their understanding together with other experts, data sources, and tools to create different context and discover new value in their Big Data.